logo

EbookBell.com

Most ebook files are in PDF format, so you can easily read them using various software such as Foxit Reader or directly on the Google Chrome browser.
Some ebook files are released by publishers in other formats such as .awz, .mobi, .epub, .fb2, etc. You may need to install specific software to read these formats on mobile/PC, such as Calibre.

Please read the tutorial at this link:  https://ebookbell.com/faq 


We offer FREE conversion to the popular formats you request; however, this may take some time. Therefore, right after payment, please email us, and we will try to provide the service as quickly as possible.


For some exceptional file formats or broken links (if any), please refrain from opening any disputes. Instead, email us first, and we will try to assist within a maximum of 6 hours.

EbookBell Team

In All Likelihood Statistical Modelling And Inference Using Likelihood 1st Edition Yudi Pawitan

  • SKU: BELL-2512798
In All Likelihood Statistical Modelling And Inference Using Likelihood 1st Edition Yudi Pawitan
$ 31.00 $ 45.00 (-31%)

5.0

110 reviews

In All Likelihood Statistical Modelling And Inference Using Likelihood 1st Edition Yudi Pawitan instant download after payment.

Publisher: Oxford University Press, USA
File Extension: PDF
File size: 9.87 MB
Pages: 546
Author: Yudi Pawitan
ISBN: 9780198507659, 0198507658
Language: English
Year: 2001
Edition: 1

Product desciption

In All Likelihood Statistical Modelling And Inference Using Likelihood 1st Edition Yudi Pawitan by Yudi Pawitan 9780198507659, 0198507658 instant download after payment.

This text concentrates on what can be achieved using the likelihood/Fisherian methods of taking into account uncertainty when studying a statistical problem. It takes the concept of the likelihood as the best method for unifying the demands of statistical modeling and theory of inference. Every likelihood concept is illustrated with realistic examples ranging from a simple comparison of two accident rates to complex studies that require generalized linear or semiparametric modeling. The emphasis is on likelihood not as just a device used to produce an estimate, but as an important tool for modeling.

Related Products